- FREE Course on Data Science, Machine Learning, Data Analysis, Data Visualization using Python and R Programming
- Free tutorial
- Rating: 4.0 out of 54.0 (2,419 ratings)
- 114,398 students
- 8hr 7min of on-demand video
- Created by DATAhill Solutions Srinivas Reddy
English
What you’ll learn
- What is Data Science
- Artificial Intelligence vs Machine Learning vs Deep Learning
- Data Analysis using Python and R
- Data Visualization using Python and R
- Data Loading using Python and R
Requirements
- All graduates, Data analysts and business analysts
Description
Interested in the field of Data Science, Machine Learning, Data Analytics, Data Visualization? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Data Science. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.
Who this course is for:
- Beginner Python & R developers curious about Data Science
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Course content
1 section • 14 lectures • 8h 6m total length
Data Science, Machine Learning, Data Analysis, Python & R14 lectures • 8hr 7min
- Python Programming37:07
- Numpy with Python34:41
- Pandas with Python43:03
- MatPlotLib with Python32:30
- Seaborn with Python31:46
- Python Machine Learning26:10
- Data Visualization using MatPlotLib & Seaborn32:45
- Data Visualization using R Programming01:00:54
- Data Visualization using Python and R32:48
- Data Analysis using NumPy and Pandas35:18
- Data Analysis – How to Extract the Data43:40
- Data Science30:42
- Machine Learning25:06
- R Programming20:05
